PhD or Postdoctoral Opening in AI for Drug Discovery and Chemical Biology Technical University of Munich in Germany

The Sieber Lab at the Technical University of Munich is inviting prospective PhD and postdoctoral candidates to join research in AI for drug discovery and chemical biology.

The advertised work focuses on developing machine learning methods that are tightly connected to experimental validation. Research directions mentioned in the post include antibacterial discovery, molecular design, multimodal biological data analysis, and closed-loop AI-guided discovery.

This is a strong fit for applicants with backgrounds or interests in computer science, chemistry, biology, biomedical engineering, or pharmacy, especially those excited by interdisciplinary work at the interface of computation and experiments.

No deadline, funding package, or formal eligibility checklist is stated in the post. Interested candidates are asked to reach out directly to the lab for further details and application guidance.

Institution: Technical University of Munich. Opportunity level: PhD and postdoctoral opening. Research theme: AI-driven drug discovery, chemical biology, and machine learning for experimental discovery pipelines.